• Journal of Labour Economics
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• v.26 no.3
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• pp.149-179
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• 2003

This study is analysing the factors determining individuals' behavior of selecting self-employment not only at the micro-level but also at the macro-level to put a particular emphasis on the financial constraint and unemployment rate representing business cycle. The data used in this study are "Korean Labor and Income Panal Study" of the Korea Labor Institute and "Economically Active Population Survey" of National Statistical Office. The main findings are as follows. First, human capital such as educational attainment and job experience has positive effects on male's selection of self-employment. The effects of job experience, however, changed negative for female's selection of self-employment. Second, real estate is significantly enhancing the selection probabilities of employer selection while the income from financial assets has negative effects. Third, entrepreneurial culture and environment are also raising the self-employment selection probability. Lastly, the regional unemployment rate representing the business cycle has positive effects on the self-employment selection after the financial crisis in 1997 both at the micro and macro level. Moreover, the coefficient of regional unemployment rate has changed positive in the structural model of self-employment selection controlling for selection bias and income opportunities, which means that individual's behavior of self-employment selection is rather complex when accounting for the uncertainties of income opportunities and diverse characteristics of self-employment workforce.

• Journal of Labour Economics
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• v.30 no.2
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• pp.1-31
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• 2007

The purpose of this paper is to analyse wage differentials between non-regular and regular works. Data from EAPS(Economically Active Population Survey) 2005 show that the monthly wage level of non-regular worker is only 63% of regular worker and thus there exist 37% wage differentials. However, these wage differentials do not control for hours of work, the amount of human capital, job characteristics, and other individual characteristics affecting wages. If these variables are added to the hourly wage regression equation, the wage gap between non-regular and regular workers drastically decreases to 2.2%. Furthermore, decomposition of the wage differentials by Oaxaca method shows that productivity difference between non-regular and regular workers explains up to 91% of the wage gap. This implies that the magnitude of wage discrimination against non-regular workers is at most 0.2% of hourly wage of regular workers. To control for unobserved individual heterogeneities more accurately, we also construct panel data and estimate wage differentials. The results from the panel data approach show that there is no difference in the hourly wages between non-regular and regular workers. In some specifications, the wage rate of non-regular worker is rather higher than that of regular worker. These results are consistent with economic theory. Other things being equal, workers with unstable employment may require higher wages to compensate their unstability. Firms are willing to pay higher wages if they can get more flexibility from non-regular employment. Empirical results in this paper cast doubt on the view that there is wage discrimination against non-regular workers in the labor market. Public policies should be targeted for disadvantaged groups among non-regular workers, not for non-regular workers in general.

• Journal of Labour Economics
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• v.24 no.2
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• pp.1-34
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• 2001

This study analyzes the male-female difference in self-employment rates in Korea using panel data constructed from the Economically Active Population Survey in 1999. Given that most studies on self-employment have focused on male self-employment and have not examined why self-employment rate is usually higher among males than females, this study certainly extends the existing literature on this subject This study consists of two parts. The first part deals with estimating self-employment rates for males and female within a Markov framework. The second part presents decomposition results of the male-female differential in self-employment rates. Major findings of the study are (1) self-employment rate is higher for males than females because entry into self-employment is larger but exit from self-employment is smaller for males than female, (2) higher entry probability for males is due to differences in coefficients of transition probability functions while lower exit probability for males is due to differences in characteristics, (3) a large part of male-female gap in self-employment rates results from differences in being a head of family, marital status and age between males and females.

• Korean Journal of Social Welfare
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• v.60 no.3
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• pp.31-58
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• 2008

This study examines applying the elderly poverty labor hypothesis and skill-biased technological change hypothesis to labor force participation rate(LFPR) of older males in Korea. These hypotheses have hardly been examined on the this group. The analysis is based on the data "Summary of economically active population($1965{\sim}2007$)", "Population projection($1965{\sim}2007$)", "Report on wage structure survey($1993{\sim}2005$)" and "Korea Labor and Income Panel Study($1998{\sim}2006$)". The method employed for this study is logistic regression. The main results from this analysis are summarized in five points. Firstly, Korean older males' LFPR have been increasing since 1965 when industrialization was expanding at full steam. This trend has been different from the decreasing trend of industrialized countries. The second finding is that poor older males' LFPR is, on the average, 5.2% higher than that of non-poor older males from 1998 to 2005. The third result is that the non-elderly man has been increasingly positioned at higher grade occupations, while the elderly man has been held at lower grade occupations. The fourth is that labor demand for highly educated workers has exceeded the increased labor supply of the group, while the demand for low educated workers has decreased far beyond the declined labor supply. As a result, college premium has increased from 139% in 1993 to 157.8% in 2005. The final main implication of this study is that the industrialization theory and modernization hypothesis still holds for the LFPR of Korean older males. However, the elderly affluence hypothesis of the LFPR of older males are hardly persuasive in explaining Korean phenomenon. Especially, we find that the elderly poverty is the main mechanism in determining the Korean LFPR in old ages. This supports the elderly poverty labor hypothesis presented in this study. Skill-biased technological change hypothesis partially explains the LFPR of older man. However, we believe that other factors; human capital specially high school education rather than university education and skill required in less skill biased occupations or the poverty; also have taken effect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.223-231
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• 2020

Governments and private companies have established various local entrepreneurial infrastructure institutions in most regions in order to reduce youth unemployment, and boost youth entrepreneurship and regional employment. However, previous studies has been limited to explore the impact of the entrepreneurial infrastructure institutions on the willingness of start-up entrepreneurs. Thus, the main purpose of this study is to fill in the gaps of the research, identify the effect of the entrepreneurial infrastructure institutions on regional employment focusing on the Partner Squares which are entrepreneurial infrastructure institutions in several regions and established by N company, and set a foundation for further research regarding the effectiveness of the entrepreneurial infrastructure institutions. In order to verify the effectiveness of the Partner Squares on the local employment, we use the raw data of the Economically Active Population Survey (Statistics Korea) and analyze the effectiveness by using the Difference-in-Differences model. The main findings are as follows. While the Partner Square Seoul has not statistically influenced on the employment of local youth workers, the Partner Square Busan has increased about 3% of the average number of employees (575 thousand) from May 2017 to July 2019, increasing the number of local youth workers by 17,000. Also, after the establishment of the Partner Square Gwangju, the institution has increased 4,500 local employees, which is about 1.7% of the average number of employees (267,000) from September 2018 to July 2019. This implies that the Partner Squares provide a variety of effective start-up education programs and networks for pre-starters and founders in the region, thereby helping them to grow and boosting the local employment. An important implication is that by using government statistical data, we find roles of entrepreneurial infrastructure institutions to revitalize local economy and employment. In future studies, studies need to be conducted considering various exogenous variables that can affect local employment, such as the government industrial policies and entrepreneurial infrastructure institutions other than the Partner Squares.

• Journal of Nutrition and Health
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• v.55 no.3
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• pp.359-375
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• 2022

Purpose: Adult Korean men belonging to the main economically active population are known to have long sedentary hours. This study was undertaken to determine the difference and relevance of sedentary hours on the nutrition, diet, and health status of adult men, and to suggest how to prevent health risk factors. Methods: Subjects (n = 1,068) were classified into 4 groups based on their sedentary hours, ranging from the first quartile (Q1) having the least hours spent sitting, to the fourth quartile (Q4) spending the longest hours. Results: Subjects belonging to Q4 had the lowest average age, the largest waist circumference, and the highest level of education. Among those engaged in economic activities, the ratio of white-collar workers was significantly higher in Q4. Accordingly, the rate of not doing high-intensity or moderate-intensity physical activity while working was also the highest in Q4. A significant difference was obtained in the drinking frequency between groups, but this was found to be associated with the average working hours rather than sedentary hours. The proportion of not doing aerobic exercise was higher with longer sitting hours. The highest diagnosis of diabetes (8.8%) was obtained in the Q4 group. Among the factors related to cardiovascular disease, only low density lipoprotein-cholesterol showed a significant difference, with Q4 being significantly higher than Q1. Considering energy and nutrient intake, vitamin B₁ and calcium intake were the lowest in the group with the longest sitting hours, as well as the least consumption of vitamin C than the recommended estimated average requirement. Conclusion: The results of this study suggest that the health and nutritional status of Korean adult men are affected by sedentary hours. This should be recognized as a health risk factor and guidelines need to be developed for sedentary lifestyle management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6080-6088
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• 2015

The purpose of study is to find difference in the quality of life and related factors according to the employment status. Using data from the fifth National Health and Nutrition Survey, economically active population of 20-69 years old 3,429 participants who said to questions of 'economic activity status' were finally used as analysis subjects in Korea. According to economic activity status, individuals were divided by the six different employment status and their quality of life was inspected using the EQ-5D dimensions and index score as well as analyzing the factors affecting the quality of life. As a result, unemployed compared to full-time workers, had significantly higher needs of four dimensions and Unpaid family workers had in the dimensions of Mobility, Self-care and Usual activities and temporary job had in the dimensions of Self-care and Usual activities. After figuring out life quality factors according to employment status, it was found that compared to full-time workers greater age(${\beta}=-0.089$, p<0.001), more stress(${\beta}=-0.143$, p<0.0001), hyperlipidemia(${\beta}=-0.064$, p<0.0001), stroke, arthritis(${\beta}=-0.160$, p<0.0001), respiratory diseases(${\beta}=-0.055$, p<0.001) and chronic health conditions were more influential to low quality of life for temporary job(${\beta}=-0.034$, p<0.05), day workers(${\beta}=-0.078$, p<0.0001) and unemplyed(${\beta}=-0.052$, p<0.01). The study is reported that it is to find difference in the quality of life and related factors according to the employment status and it is considered to provide basis for health evaluation of utilization in the same field of study.